Artificial Analysis
Technology
SeniorFullStackSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Full Stack Software Engineer at Artificial Analysis. Skills: PostgreSQL, AI. Lead full-stack development and optimization of the Artificial Analysis website using a TypeScript/Next.js stack hosted on Vercel, working with PostgreSQL databases on Supabase. Design and implement user interfaces and data visualizations to present complex AI benchmarking data intuitively, while also pushing forward engineering practices in DevOps, infrastructure management, and CI/CD. Mentor and manage a small ”
What You'll Achieve.
Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for many thousands of daily users.
Industry & Context.
architectural decisions
What They're Looking For.
Must Have
3+ years of professional software engineering experience, with a focus on modern front-end web development (JavaScript/TypeScript, React, Next.js, Node.js). The ability to balance writing maintainable code and making sound architectural decisions with the need to ship features quickly. Proven ability to lead projects independently in a fast-paced environment.
Nice to Have
Bachelor's or Master's in Computer Science, Engineering, or related field (e.g. Physics). Experience with Python libraries for data analysis (e.g. pandas) and AI/ML frameworks (e.g. PyTorch). Experience visualizing & presenting data. Creation of analytical reports.
What You'll Do.
Lead full-stack development and optimization of the Artificial Analysis website using a TypeScript/Next.js stack hosted on Vercel, working with PostgreSQL databases on Supabase.
Design and implement user interfaces and data visualizations to present complex AI benchmarking data intuitively, while also pushing forward engineering practices in DevOps, infrastructure management, and CI/CD.
Mentor and manage a small team of developers, embracing an AI-native workflow with cutting-edge AI tools.
How You'll Work.
Team & Collaboration
Work closely with founders and mentor a small team of developers to drive engineering excellence. Collaborate with leading AI labs, major enterprises, and media outlets.
Full Job Description
ABOUT ARTIFICIAL ANALYSIS Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. THE OPPORTUNITY We're looking for a Senior Full Stack Software Engineer to join our team and lead full stack development projects focusing on our website, artificialanalysis.ai http://artificialanalysis.ai. You'll work closely with our founders to build core parts of the software stack for our early stage start-up. The coming wave of AI scaling is going to change the world in ways we don't yet understand — and we're offering a front row seat. WHAT YOU’LL DO - Lead full-stack development and optimization of the Artificial Analysis website - Work with our TypeScript / Next.js stack (hosted on Vercel) to build and maintain website features, including using our PostgreSQL databases on Supabase - Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for many thousands of daily users - Push forward our engineering practice more broadly, incorporating industry best practices into our DevOps, infrastr
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